D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Biology and Biochemistry D-index 89 Citations 41,869 272 World Ranking 1143 National Ranking 86

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Enzyme
  • DNA

His primary scientific interests are in Proteomics, Proteome, Computational biology, Mass spectrometry and Cell biology. He has included themes like Data science, Bioinformatics and Genomics in his Proteomics study. His Proteome research is under the purview of Biochemistry.

Bernhard Kuster interconnects Cancer, Tandem mass spectrum, Kinome and Artificial intelligence in the investigation of issues within Computational biology. His Mass spectrometry research includes elements of Label-free quantification, Tandem mass tag and Affinity chromatography. His biological study spans a wide range of topics, including Efflux, RNA interference and Tandem affinity purification.

His most cited work include:

  • Functional organization of the yeast proteome by systematic analysis of protein complexes (4283 citations)
  • Proteome survey reveals modularity of the yeast cell machinery (2239 citations)
  • Quantitative mass spectrometry in proteomics: a critical review (1302 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Proteomics, Proteome, Biochemistry, Cell biology and Computational biology. The various areas that Bernhard Kuster examines in his Proteomics study include Transcriptome, Chromatography, Mass spectrometry and Bioinformatics. His studies examine the connections between Proteome and genetics, as well as such issues in Tandem mass spectrometry, with regards to Peptide sequence.

His studies link Molecular biology with Biochemistry. The Cell biology study combines topics in areas such as Cell cycle and Ubiquitin ligase. His Computational biology research incorporates elements of Proteogenomics, Gene expression profiling, Identification, Gene and Human proteome project.

He most often published in these fields:

  • Proteomics (49.38%)
  • Proteome (35.49%)
  • Biochemistry (29.63%)

What were the highlights of his more recent work (between 2019-2021)?

  • Proteomics (49.38%)
  • Proteome (35.49%)
  • Cell biology (27.78%)

In recent papers he was focusing on the following fields of study:

Bernhard Kuster spends much of his time researching Proteomics, Proteome, Cell biology, Computational biology and Transcriptome. Bernhard Kuster combines Proteomics and Multiplexing in his studies. His Proteome study combines topics from a wide range of disciplines, such as Chromatography, Retention time, Liquid chromatography–mass spectrometry and Lc ms ms.

Bernhard Kuster has included themes like Cell cycle, Ubiquitin, Cereblon and Transcription factor in his Cell biology study. His research investigates the connection between Computational biology and topics such as Virus that intersect with problems in Genome, Label-free quantification and Targeted mass spectrometry. He combines subjects such as Gene expression profiling, Crosstalk, Omics and Rational design with his study of Transcriptome.

Between 2019 and 2021, his most popular works were:

  • Mass-spectrometry-based draft of the Arabidopsis proteome. (86 citations)
  • Multi-level proteomics reveals host-perturbation strategies of SARS-CoV-2 and SARS-CoV (84 citations)
  • Multi-level proteomics reveals host-perturbation strategies of SARS-CoV-2 and SARS-CoV (84 citations)

In his most recent research, the most cited papers focused on:

  • Gene
  • Enzyme
  • DNA

His scientific interests lie mostly in Proteome, Computational biology, Proteomics, Transcriptome and Interactome. He performs multidisciplinary study on Proteome and Context in his works. His Computational biology research includes themes of Protein structure, Respiratory chain, Conserved sequence and Function.

Bernhard Kuster works in the field of Proteomics, focusing on Isobaric labeling in particular. His Transcriptome research includes elements of Open reading frame, Sequence motif and Arabidopsis. His work carried out in the field of Interactome brings together such families of science as Human cell line and Signal transduction.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Functional organization of the yeast proteome by systematic analysis of protein complexes

Anne-Claude Gavin;Markus Bösche;Roland Krause;Paola Grandi.
Nature (2002)

5862 Citations

Proteome survey reveals modularity of the yeast cell machinery

Anne-Claude Gavin;Patrick Aloy;Paola Grandi;Roland Krause.
Nature (2006)

2919 Citations

Quantitative mass spectrometry in proteomics: a critical review

Marcus Bantscheff;Markus Schirle;Gavain Sweetman;Jens Rick.
Analytical and Bioanalytical Chemistry (2007)

1877 Citations

Mass-spectrometry-based draft of the human proteome

Mathias Wilhelm;Judith Schlegl;Hannes Hahne;Amin Moghaddas Gholami.
Nature (2014)

1631 Citations

A physical and functional map of the human TNF-alpha/NF-kappa B signal transduction pathway.

Tewis Bouwmeester;Angela Bauch;Heinz Ruffner;Pierre-Olivier Angrand.
Nature Cell Biology (2004)

1361 Citations

Quantitative chemical proteomics reveals mechanisms of action of clinical ABL kinase inhibitors

Marcus Bantscheff;Dirk Eberhard;Yann Abraham;Sonja Bastuck.
Nature Biotechnology (2007)

1035 Citations

Quantitative mass spectrometry in proteomics: critical review update from 2007 to the present

Marcus Bantscheff;Simone Lemeer;Mikhail M. Savitski;Bernhard Kuster;Bernhard Kuster.
Analytical and Bioanalytical Chemistry (2012)

803 Citations

Computational prediction of proteotypic peptides for quantitative proteomics

Parag Mallick;Markus Schirle;Sharon S Chen;Mark R Flory.
Nature Biotechnology (2007)

764 Citations

Cell-cycle-regulated association of RAD50/MRE11/NBS1 with TRF2 and human telomeres.

X.-D. Zhu;B. Küster;M. Mann;J. H. J. Petrini.
Nature Genetics (2000)

753 Citations

ELM server: a new resource for investigating short functional sites in modular eukaryotic proteins

Pål Puntervoll;Rune Linding;Christine Gemünd;Sophie Chabanis-Davidson.
Nucleic Acids Research (2003)

729 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Bernhard Kuster

Ruedi Aebersold

Ruedi Aebersold

ETH Zurich

Publications: 271

Matthias Mann

Matthias Mann

Max Planck Institute of Biochemistry

Publications: 168

Albert J. R. Heck

Albert J. R. Heck

Utrecht University

Publications: 95

Nevan J. Krogan

Nevan J. Krogan

University of California, San Francisco

Publications: 79

Pauline M. Rudd

Pauline M. Rudd

University College Dublin

Publications: 74

Marcus Bantscheff

Marcus Bantscheff

GlaxoSmithKline (United Kingdom)

Publications: 71

Akhilesh Pandey

Akhilesh Pandey

Mayo Clinic

Publications: 67

Raymond A. Dwek

Raymond A. Dwek

University of Oxford

Publications: 63

Giulio Superti-Furga

Giulio Superti-Furga

Medical University of Vienna

Publications: 61

Lennart Martens

Lennart Martens

Ghent University

Publications: 61

Patrick Aloy

Patrick Aloy

Institució Catalana de Recerca i Estudis Avançats

Publications: 60

Anne-Claude Gingras

Anne-Claude Gingras

University of Toronto

Publications: 59

John R. Yates

John R. Yates

Scripps Research Institute

Publications: 59

Eric W. Deutsch

Eric W. Deutsch

University of Washington

Publications: 58

Andrew Emili

Andrew Emili

Boston University

Publications: 57

Mikhail M. Savitski

Mikhail M. Savitski

European Bioinformatics Institute

Publications: 54

Something went wrong. Please try again later.